Determination the Carbon Adsorbents Effectiveness on Adsorption and Desorption Processes of LPG

The current research focuses on the experimental investigation of carbon adsorbent produced from oil palm shell as a raw material. These carbon materials can be used for catalyst supports and adsorbents because of its prominent characteristics, such as high surface area, relatively uniform pore size, ordered pore structure and good thermal and mechanical stabilities. The objective of the present research is to develop a liquefied petroleum gas (LPG) gas storage based upon the carbon adsorbents. Carbon adsorbent as a gas storage media for LPG is an alternative way to overcome the disadvantages of pressurized vessel such as high-pressure flammable gas content, dimension of gas tank, and other dangerous aspects. The effect of activation in carbon adsorbent was observed on adsorption and desorption processes of LPG gas. This research will be conducted by designing and developing the experimental rig for preparing carbon adsorbent, which are consisted of a reactor, tube furnace, suction blower and some accessories. Other process,which is activation carried out in a same reactor, which blanketed by tube furnace where the pyrolysis take place. These research aims are used to the extending application of proposed framework to problem arising in the alternative fuel for vehicles

Waste Heat Recovery From The Exhaust Of Natural Aspirated Engine

The utilization of exhaust waste heat is now well known and the basic of many combined cooling, heating, and power installations. Heat recovery from automotive engines has been predominantly for turbo-charging or others such as cabin heating, thermoelectric, and air conditioning. The exhaust gases from such installations represent a significant amount of thermal energy that traditionally has been used for combined heat and power applications. This paper explores the theoretical performance and simulation of natural aspirated spark ignition engine model of 1.6 L, which is occupied with waste heat recovery mechanism (WHRM). Mathematical model and simulation test results suggest that the concept is PFI thermodynamically feasible and could significantly enhance system performance depending on the load applied on the engine. However, the experimental test should be conducted to validate the simulation results as for scalability and reliability that require further investigation

Properties and Structure of RO‐R2O‐Na2O‐Al2O3‐P2O5 Glasses

The properties and structural features of RO-R20-Na 20-Al203-P205 (R= Mg, Ca, Ba and RO= Li) glasses in the system have been investigated. The properties of those glasses seem to depend on the field strength of the alkali or alkali-earth ions in glasses as in silicate glasses. Infrared (IR) spectroscopy indicates that the glass network is dominated by bridging P-tetrahedral present in glasses with O/P ~ 3.0. The variation in physical properties of the glasses seem to be closely related to the variation in structure of the glasses and could be explained by simple mechanism such as field strength and differences in mass

Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network

The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally been used for combined heating and power applications. This paper explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM). The experimental and simulation test results suggest that the concept is thermodynamically feasible and could significantly enhance the system performance depending on the load applied to the engine. The simulation method is created using an artificial neural network (ANN) which predicts the power produced from theWHRM

Prediction of Waste Heat Energy Recovery Performance in a Naturally Aspirated Engine Using Artificial Neural Network

he waste heat from exhaust gases represents a signiicant amount of thermal energy, which has conventionally been used for combined heating and power applications. his paper explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM).he experimental and simulation test results suggest that the concept is thermodynamically feasible and could signiicantly enhance the system performance depending on the load applied to the engine. he simulation method is created using an artiicial neural network (ANN) which predicts the power produced from theWHRM

The study on performance of naturally aspirated spark ignition engine equipped with waste heat recovery mechanism

The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally been used for combined heating and power applications. This paper explores the performance of a naturally aspirated spark ignition engine equipped with waste heat recovery mechanism (WHRM). The amount of heat energy from exhaust is presented and the experimental test results suggest that the concept is thermodynamically feasible and could significantly enhance the system performance depending on the load applied to the engine. However, the existing of WHRM affects the performance of engine by slightly reducing the power

Feasibility Study for Energy Recovery from Internal Combustion Engine's Waste Heat.

To mitigate the world’s energy problems and global warming, researchers are focusing on renewable energy, regenerate energy, efficient energy usage and finding alternative energy. In an automobile, Internal Combustion Engine (ICE) also produces heat which is released as waste heat which have a potential to generate energy. Power distribution of an automotive is showing that only about 20% of the power from engine combustion is convert to wheel or driving power and more than 60% of the power will be wasted. One way to convert heat to useful work is by using Rankine cycle. Research study to described the effects of thermal properties of an organic working fluid on the turbine power had also been reported. This research is to investigate the actual potential energy and power from the waste heat released by the an actual passenger car’s ICE through radiator. Feasibility study is conducted, to investigate the capability of the system and to help developing a system that can be used in an actual automobile. With the collected data, an efficient waste heat recovery system for the passenger car’s engine will be develop in the future. From the experiment result, the power output up to 800 W from heat released in the radiator as the temperature difference about 35 C (heat in and out difference). From this study, it is found out there is a significant problem when the radiator cooling fan operates. The power from the waste heat intended to reduce and also becoming unstable. A power storage system and the radiator cooling fan control will be vital to obtain high usable energy from ICE heat

Investigation of the Structures Properties and Applications of Phosphate Based Glasses

Glasses based on RO-R20-Na 20-Al20.r-P20 5 (R= Mg, Ca, Ba and RO = Li system has successfully been prepared and their properties and structural features have been investigated. The properties of those glasses seem to depend on the field strength of the alkali or alkali-earth ions in glasses as in silicate glasses The density was determined by means of an ordinary principle of Archimedes and it was found that the density increases as Ro and R20 oxide was introduced replacing some amount of Al203. The spectra of glasses have been studied within the spectral range of 4000 cm-I to 100 cm-1 by Fourier transform infrared spectroscopy. Infrared (JR) spectroscopy indicates that the glass network is dominated by bridging P-tetrahedral present in glasses with O/P = 3.0. The variation in physical properties of the glasses seem to be closely related to the variation in structure of the glasses and could be explained by simple mechanism such as field strength and differences in mass

Prediction of generated power from steam turbine waste heat recovery mechanism system on naturally aspirated spark ignition engine using artificial neural network

The waste heat from exhaust gases represents a significant amount of thermal energy, which has conventionally been used for combined heating and power applications. This paper proposes a prediction model on the performance of a naturally aspirated spark ignition engine equipped with a waste heat recovery mechanism (WHRM) using steam turbine mechanism. The simulation method is created using an artificial neural network (ANN) to predict the power produced from this WHRM. The automated neural network was employed to run the simulation, where the ANN analysis used multilayer perceptrons as the network architecture, which is a feed-forward neural network architecture with uni-directional full connections between successive layers and applied Broyden–Fletcher–Goldfarb–Shanno algorithm iterative techniques to train the data. By using ANN, power generated from this WHRM could be predicted with good accuracy of 0.007, 0.011, and 0.016% error on training, test and validation data, respectively

CFD anallysis on cost effective pico hydro turbine: A case study for low head and low flow rate condition

Pico-hydro turbine has been widely used for off-grid settlement especially for stand-alone domestic application. Jn most cases there is a trade-off between the flow rate and the available head. The fluctuation of water flow rate between wet and dry seasons obviously affected the performance of the turbine. The problem is compounded when a specific turbine is used in low head and low flow application. This paper discusses the performance of an axial-flow (propeller) turbine in this particular condition. Evaluation is made based on the blade parameters in order to improve its existing performance. Comparisons are made between the current blade and a modified version of it, in term of hub to tip ratio and the number of blades used. The values of hub to tip ratio ranging between 0.4 to 0.7. The numbers of blades used are 3, 4, 5, and 6. Simulation analysis was done using Computational Fluid Dynamics (CFD) software. Analyses were done on each of the turbine blade to find the optimum stream velocity and power output which can be derived for each combination of turbine parameters.The analysis results show that with lowest value of hub to tip ratio which is 0.4 and the lowest number of blades which is 3, contributed the best performance of the axial-flow turbine